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cs.LG2012
Margin Distribution Controlled Boosting
Guangxu Guo, Songcan Chen
Schapire's margin theory provides a theoretical explanation to the success of boosting-type methods and manifests that a good margin distribution (MD) of training samples is essent…
cs.LG2012★ 1 cited
Metric Learning across Heterogeneous Domains by Respectively Aligning Both Priors and Posteriors
Qiang Qian, Songcan Chen
In this paper, we attempts to learn a single metric across two heterogeneous domains where source domain is fully labeled and has many samples while target domain has only a few la…